Novel Semi-Quantitative High Sensitivity ELISA for Detecting Anti-NMDA Receptor Autoantibodies in Serum and CSF (P1-8.013)
To establish semi-quantitative high sensitivity ELISA for detecting anti-NMDA receptor (NMDAR) autoantibodies (autoAbs) from patients with anti-NMDAR encephalitis (ANRE).
Authors
- Benjamin Greenberg (ORCID: https://orcid.org/0000-0002-2091-8201)
- Mathew Mitchell
- Peter Flynn (ORCID: https://orcid.org/0000-0003-3932-6406)
- Roghiye Kazimi
- Amir S. Razai (ORCID: https://orcid.org/0000-0002-7172-0713)
- Martin R. Jefson
- Shanni Yamaki
- Mitsuyuki Matsumoto (ORCID: https://orcid.org/0000-0002-1172-2354)
- Vallari R. Eastman
- Scott J. Snipas (ORCID: https://orcid.org/0000-0002-4239-6862)
- Nancy Monson
- Mari Maurer
Institutions
- Southwestern Medical Center (US)
- Southwestern Medical Center (US)
- Southwestern University (US)
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000208615
- Citations
- 1
- Primary Topic
- Neuroscience and Neuropharmacology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.91